IJNRD Research Journal

WhatsApp
Click Here

WhatsApp editor@ijnrd.org
IJNRD
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

Call For Paper

For Authors

Forms / Download

Published Issue Details

Editorial Board

Other IMP Links

Facts & Figure

Impact Factor : 8.76

Issue per Year : 12

Volume Published : 9

Issue Published : 96

Article Submitted :

Article Published :

Total Authors :

Total Reviewer :

Total Countries :

Indexing Partner

Join RMS/Earn 300

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: Revolutionizing Image Duplicate Detection: Harnessing ResNet-50 with Spatial Transformers for Unprecedented Precision
Authors Name: BHASKAR VIJAY KUMAR GOLUSU , NIRUPAMA RAJANA , RAGHU RAM ARJI , NAVANISH KILLAMSETTY , Prathi Naveena
Download E-Certificate: Download
Author Reg. ID:
IJNRD_218018
Published Paper Id: IJNRD2404292
Published In: Volume 9 Issue 4, April-2024
DOI:
Abstract: In the ever-expanding realm of digital imagery, the rapid generation and sharing of visual content have given rise to the challenge of detecting near-duplicate images efficiently and accurately. The project's primary objective is to develop a cutting-edge framework that leverages the advanced feature extraction capabilities of ResNet-50, a state-ofthe-art convolutional neural network (CNN), to identify image pairs that appear identical to the human eye but may subtly differ in content or context. Incorporating advanced image transformation techniques, our project seeks to develop a novel framework for detecting near-duplicate images. By leveraging deep representation learning methodologies, we aim to enhance the discernment process, fostering innovation in image recognition technologies.
Keywords: Image duplicate detection, ResNet-50, spatial transformer, convolutional neural networks, near duplicate images, image similarity assessment, feature extraction, spatial transformation, image forensics, content management, intellectual property protection.
Cite Article: "Revolutionizing Image Duplicate Detection: Harnessing ResNet-50 with Spatial Transformers for Unprecedented Precision", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.c521-c530, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404292.pdf
Downloads: 00044
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID:IJNRD2404292
Registration ID: 218018
Published In: Volume 9 Issue 4, April-2024
DOI (Digital Object Identifier):
Page No: c521-c530
Country: Visakhapatnam, ANDHRA PRADESH, India
Research Area: Information Technology 
Publisher : IJ Publication
Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2404292
Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2404292
Share Article:
Share

Click Here to Download This Article

Article Preview
Click Here to Download This Article

Major Indexing from www.ijnrd.org
Semantic Scholar Microsaoft Academic ORCID Zenodo
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX PUBLON
DRJI SSRN Scribd DocStoc

ISSN Details

ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

DOI (A digital object identifier)


Providing A digital object identifier by DOI
How to Get DOI? DOI

Conference

Open Access License Policy

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Creative Commons License This material is Open Knowledge This material is Open Data This material is Open Content

Important Details

Social Media

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Join RMS/Earn 300

IJNRD